Comparative Performance of Federated and Centralized Learning for Brain Tumor Classification and Segmentation.
- DOI
- 10.1148/ryai.260515
- Published
- 2026 Oct 7
- Container
- Radiology. Artificial intelligence
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1148/ryai.260515,
title = {Comparative Performance of Federated and Centralized Learning for Brain Tumor Classification and Segmentation.},
author = {Narayan A and Goh C and Mariajoseph F and Cui S and Makalic E and Moore J},
year = {2026},
journal = {Radiology. Artificial intelligence},
doi = {10.1148/ryai.260515},
url = {https://doi.org/10.1148/ryai.260515}
}RIS
TY - JOUR TI - Comparative Performance of Federated and Centralized Learning for Brain Tumor Classification and Segmentation. AU - Narayan A AU - Goh C AU - Mariajoseph F AU - Cui S AU - Makalic E AU - Moore J PY - 2026 JO - Radiology. Artificial intelligence DO - 10.1148/ryai.260515 UR - https://doi.org/10.1148/ryai.260515 ER -
APA
A, N., C, G., F, M., S, C., E, M., & J, M. (2026). Comparative Performance of Federated and Centralized Learning for Brain Tumor Classification and Segmentation.. Radiology. Artificial intelligence. https://doi.org/10.1148/ryai.260515
Source records
- pubmed · retrieved 2026-11-10T07:37:19.755Z